Automatic Structure Discovery for Large Source Code: Hierarchical clustering of source code for nested decomposition of software systems into subsystems
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Automatic Structure Discovery for Large Source Code (2017)
DE PB NW
ISBN: 9783330086494 bzw. 3330086491, in Deutsch, LAP Lambert Academic Publishing Nov 2017, Taschenbuch, neu.
Lieferung aus: Deutschland, Versandkostenfrei.
Von Händler/Antiquariat, BuchWeltWeit Inh. Ludwig Meier e.K. [57449362], Bergisch Gladbach, Germany.
Neuware - In this work we attempt to infer software architecture from source code automatically. We have studied and used unsupervised learning methods for this, namely clustering. The state of the art source code (structure) analysis methods and tools were explored, and the ongoing research in software reverse architecting was studied. Graph clustering based on minimum cut trees is a recent algorithm which satisfies strong theoretical criteria and performs well in practice, in terms of both speed and accuracy. Its successful applications in the domain of Web and citation graphs were reported. To our knowledge, however, there has been no application of this algorithm to the domain of reverse architecting. Moreover, most of existing software artifact clustering research addresses legacy systems in procedural languages or C++, while we aim at modern object-oriented languages and the implied character of relations between software engineering artifacts. We consider the research direction important because this clustering method allows substantially larger tasks to be solved, which particularly means that we can cluster software engineering artifacts at class-level granularity. 164 pp. Englisch.
Von Händler/Antiquariat, BuchWeltWeit Inh. Ludwig Meier e.K. [57449362], Bergisch Gladbach, Germany.
Neuware - In this work we attempt to infer software architecture from source code automatically. We have studied and used unsupervised learning methods for this, namely clustering. The state of the art source code (structure) analysis methods and tools were explored, and the ongoing research in software reverse architecting was studied. Graph clustering based on minimum cut trees is a recent algorithm which satisfies strong theoretical criteria and performs well in practice, in terms of both speed and accuracy. Its successful applications in the domain of Web and citation graphs were reported. To our knowledge, however, there has been no application of this algorithm to the domain of reverse architecting. Moreover, most of existing software artifact clustering research addresses legacy systems in procedural languages or C++, while we aim at modern object-oriented languages and the implied character of relations between software engineering artifacts. We consider the research direction important because this clustering method allows substantially larger tasks to be solved, which particularly means that we can cluster software engineering artifacts at class-level granularity. 164 pp. Englisch.
2
Automatic Structure Discovery for Large Source Code (2017)
DE PB NW
ISBN: 9783330086494 bzw. 3330086491, in Deutsch, 164 Seiten, LAP Lambert Academic Publishing, Taschenbuch, neu.
Lieferung aus: Deutschland, Versandkosten nach: Deutschland, Versandkostenfrei.
Von Händler/Antiquariat, Buchhandlung - Bides GbR, [4124740].
Neuware - In this work we attempt to infer software architecture from source code automatically. We have studied and used unsupervised learning methods for this, namely clustering. The state of the art source code (structure) analysis methods and tools were explored, and the ongoing research in software reverse architecting was studied. Graph clustering based on minimum cut trees is a recent algorithm which satisfies strong theoretical criteria and performs well in practice, in terms of both speed and accuracy. Its successful applications in the domain of Web and citation graphs were reported. To our knowledge, however, there has been no application of this algorithm to the domain of reverse architecting. Moreover, most of existing software artifact clustering research addresses legacy systems in procedural languages or C++, while we aim at modern object-oriented languages and the implied character of relations between software engineering artifacts. We consider the research direction important because this clustering method allows substantially larger tasks to be solved, which particularly means that we can cluster software engineering artifacts at class-level granularity. - Besorgungstitel - vorauss. Lieferzeit 3-5 Tage. 04.11.2017, Taschenbuch, Neuware, 220x150x10 mm, 261g, 164, Internationaler Versand, offene Rechnung (Vorkasse vorbehalten), PayPal, Kreditkarte, Banküberweisung.
Von Händler/Antiquariat, Buchhandlung - Bides GbR, [4124740].
Neuware - In this work we attempt to infer software architecture from source code automatically. We have studied and used unsupervised learning methods for this, namely clustering. The state of the art source code (structure) analysis methods and tools were explored, and the ongoing research in software reverse architecting was studied. Graph clustering based on minimum cut trees is a recent algorithm which satisfies strong theoretical criteria and performs well in practice, in terms of both speed and accuracy. Its successful applications in the domain of Web and citation graphs were reported. To our knowledge, however, there has been no application of this algorithm to the domain of reverse architecting. Moreover, most of existing software artifact clustering research addresses legacy systems in procedural languages or C++, while we aim at modern object-oriented languages and the implied character of relations between software engineering artifacts. We consider the research direction important because this clustering method allows substantially larger tasks to be solved, which particularly means that we can cluster software engineering artifacts at class-level granularity. - Besorgungstitel - vorauss. Lieferzeit 3-5 Tage. 04.11.2017, Taschenbuch, Neuware, 220x150x10 mm, 261g, 164, Internationaler Versand, offene Rechnung (Vorkasse vorbehalten), PayPal, Kreditkarte, Banküberweisung.
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Automatic Structure Discovery for Large Source Code
DE PB NW
ISBN: 9783330086494 bzw. 3330086491, in Deutsch, Taschenbuch, neu.
Lieferung aus: Deutschland, Versandkostenfrei.
Von Händler/Antiquariat, European-Media-Service Mannheim [1048135], Mannheim, Germany.
Publisher/Verlag: LAP Lambert Academic Publishing | Hierarchical clustering of source code for nested decomposition of software systems into subsystems | In this work we attempt to infer software architecture from source code automatically. We have studied and used unsupervised learning methods for this, namely clustering. The state of the art source code (structure) analysis methods and tools were explored, and the ongoing research in software reverse architecting was studied. Graph clustering based on minimum cut trees is a recent algorithm which satisfies strong theoretical criteria and performs well in practice, in terms of both speed and accuracy. Its successful applications in the domain of Web and citation graphs were reported. To our knowledge, however, there has been no application of this algorithm to the domain of reverse architecting. Moreover, most of existing software artifact clustering research addresses legacy systems in procedural languages or C++, while we aim at modern object-oriented languages and the implied character of relations between software engineering artifacts. We consider the research direction important because this clustering method allows substantially larger tasks to be solved, which particularly means that we can cluster software engineering artifacts at class-level granularity. | Format: Paperback | Language/Sprache: english | 164 pp.
Von Händler/Antiquariat, European-Media-Service Mannheim [1048135], Mannheim, Germany.
Publisher/Verlag: LAP Lambert Academic Publishing | Hierarchical clustering of source code for nested decomposition of software systems into subsystems | In this work we attempt to infer software architecture from source code automatically. We have studied and used unsupervised learning methods for this, namely clustering. The state of the art source code (structure) analysis methods and tools were explored, and the ongoing research in software reverse architecting was studied. Graph clustering based on minimum cut trees is a recent algorithm which satisfies strong theoretical criteria and performs well in practice, in terms of both speed and accuracy. Its successful applications in the domain of Web and citation graphs were reported. To our knowledge, however, there has been no application of this algorithm to the domain of reverse architecting. Moreover, most of existing software artifact clustering research addresses legacy systems in procedural languages or C++, while we aim at modern object-oriented languages and the implied character of relations between software engineering artifacts. We consider the research direction important because this clustering method allows substantially larger tasks to be solved, which particularly means that we can cluster software engineering artifacts at class-level granularity. | Format: Paperback | Language/Sprache: english | 164 pp.
4
Automatic Structure Discovery for Large Source Code: Hierarchical clustering of source code for nested decomposition of software systems into subsystems (2017)
EN PB NW
ISBN: 9783330086494 bzw. 3330086491, in Englisch, 164 Seiten, LAP LAMBERT Academic Publishing, Taschenbuch, neu.
Lieferung aus: Deutschland, Versandfertig in 1 - 2 Werktagen, Versandkostenfrei. Tatsächliche Versandkosten können abweichen.
Von Händler/Antiquariat, expressbuch24.
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Von Händler/Antiquariat, expressbuch24.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
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Automatic Structure Discovery for Large Source Code als von
DE HC NW
ISBN: 9783330086494 bzw. 3330086491, in Deutsch, LAP Lambert Academic Publishing, gebundenes Buch, neu.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
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